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Brader JM, Senn W, Fusi S (2007) Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural Comput 19:2881-912 [PubMed]

References and models cited by this paper

References and models that cite this paper

Abarbanel HD, Huerta R, Rabinovich MI (2002) Dynamical model of long-term synaptic plasticity. Proc Natl Acad Sci U S A 99:10132-7 [PubMed]

Abbott LF, Nelson SB (2000) Synaptic plasticity: taming the beast. Nat Neurosci 3 Suppl:1178-83 [PubMed]

Adini Y, Sagi D, Tsodyks M (2002) Context-enabled learning in the human visual system. Nature 415:790-3 [PubMed]

Albus JS (1971) A theory of cerebellar function Math Biosci 10:25-61

Amit DJ (1989) Modeling Brain Function: the World of Attractor Neural Networks

Amit DJ, Fusi S (1992) Constraints on learning in dynamic synapses Network 3:443-464

Amit DJ, Fusi S (1994) Learning in neural networks with material synapses Neural Comput 6:957-982

Amit DJ, Mongillo G (2003) Spike-driven synaptic dynamics generating working memory states. Neural Comput 15:565-96 [PubMed]

Amit Y, Geman D (1997) Shape quantization and recognition with randomized trees Neural Comput 9:1545-1588

Amit Y, Mascaro M (2001) Attractor networks for shape recognition. Neural Comput 13:1415-42

Badoni D, Giulioni, Dante V, Del_Giudice P (2006) A VLSI recurrent network of spiking neurons with reconfigurable and plastic synapses IEEE International Symposium On Circuits And Systems :1227-1230

Belongie S, Malik J, Puzicha J (2002) Shape matching and object recognition using shape contexts IEEE Trans PAMI 24:509-522

Block H (1962) The perceptron: A model for brain functioning Rev Mod Phys 34:123-135

Boahen K (1998) Communicating neuronal ensembles between neuromorphic chips Neuromorphic systems engineering, Smith S:Hamilton A, ed.

Brunel N, Carusi F, Fusi S (1998) Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network. Network 9:123-52

Brunel N, Hakim V, Isope P, Nadal JP, Barbour B (2004) Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell. Neuron 43:745-57 [PubMed]

Buchs NJ, Senn W (2002) Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results. J Comput Neurosci 13:167-86 [Journal]

Burkitt AN, Meffin H, Grayden DB (2004) Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point. Neural Comput 16:885-940 [PubMed]

Chicca E, Fusi S (2001) Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons Proceedings of the World Congresson Neuroinformatics, Rattay F, ed. pp.468

Chicca E, Indiveri G, Douglas R (2003) An adaptive silicon synapse IEEE International Symposium on Circuits and Systems

Coath M, Brader J, Fusi S, Denham S (2005) Multiple views of the response of an ensemble of spectro-temporal features support concurrent classification ofutterance, prosody, sex and speaker identity Network Computation In Neural Systems 16:285-300

Del Giudice P, Fusi S, Mattia M (2004) Modelling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses. J Physiol Paris 97:659-81

Diorio C, Hasler P, Minch B, Mead C (1996) A single-transistor silicon synapse IEEE Transactions On Electron Devices 43:1972-1980

Douglas R, Deiss S, Whatley A (1998) A pulse-coded communications infrastructure for neuromorphic systems Pulsed neural networks, Maass W:Bishop C, ed. pp.157

Feldman DE (2000) Timing-based LTP and LTD at vertical inputs to layer II/III pyramidal cells in rat barrel cortex. Neuron 27:45-56 [PubMed]

Freund Y, Schapire R (1999) A short introduction to boosting J Jpn Soc Artif Intell 14:771-780

Froemke RC, Dan Y (2002) Spike-timing-dependent synaptic modification induced by natural spike trains. Nature 416:433-8 [PubMed]

Fusi S (2001) long-term memory: Encoding and storing strategies of the brain Neurocomputing: Computational neuroscience: Trends in research 2001, Bower JM, ed. pp.1223

Fusi S (2002) Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates. Biol Cybern 87:459-70 [PubMed]

Fusi S (2003) Spike-driven synaptic plasticity for learning correlated patterns of mean firing rates. Rev Neurosci 14:73-84 [PubMed]

Fusi S, Abbott LF (2007) Limits on the memory storage capacity of bounded synapses. Nat Neurosci 10:485-93 [PubMed]

Fusi S, Annunziato M, Badoni D, Salamon A, Amit DJ (2000) Spike-driven synaptic plasticity: theory, simulation, VLSI implementation. Neural Comput 12:2227-58

Fusi S, Drew PJ, Abbott LF (2005) Cascade models of synaptically stored memories. Neuron 45:599-611 [PubMed]

Fusi S, Mattia M (1999) Collective behavior of networks with linear (VLSI) integrate-and-fire neurons. Neural Comput 11:633-52 [PubMed]

Fusi S, Senn W (2006) Eluding oblivion with smart stochastic selection of synaptic updates. Chaos 16:026112 [PubMed]

Gerstner W, Kempter R, van Hemmen JL, Wagner H (1996) A neuronal learning rule for sub-millisecond temporal coding. Nature 383:76-81 [PubMed]

Giudice PD, Mattia M (2001) Long and short-term synaptic plasticity and the formation of working memory: A case study Neurocomputing 38:1175-1180

Gutig R, Sompolinsky H (2006) The tempotron: a neuron that learns spike timing-based decisions. Nat Neurosci 9:420-8 [PubMed]

Hertz J, Krogh A, Palmer RG (1991) Introduction to the Theory of Neural Computation.

Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci U S A 79:2554-8 [PubMed]

Hopfield JJ, Brody CD (2004) Learning rules and network repair in spike-timing-based computation networks. Proc Natl Acad Sci U S A 101:337-42 [PubMed]

Indiveri G (2000) Modeling selective attention using a neuromorphic analog VLSI device. Neural Comput 12:2857-80

Indiveri G (2001) A neuromorphic VLSI device for implementing 2D selective attention systems IEEE Transactions On Neural Networks 12:1455-1463

Indiveri G (2002) Neuromorphic bistable VLSI synapses with spike-timing dependent plasticity Advances in neural information processing systems, Becker S:Thrun S:Obermayer K, ed.

Indiveri G, Fusi S (2007) Spike-based learning in VLSI networks of spiking neurons Proc IEEE International Symposium on Circuits and Systems :3371-3374

Karmarkar UR, Buonomano DV (2002) A model of spike-timing dependent plasticity: one or two coincidence detectors? J Neurophysiol 88:507-13 [Journal] [PubMed]

Kempter R, Gerstner W, van Hemmen JL (2001) Intrinsic stabilization of output rates by spike-based Hebbian learning. Neural Comput 13:2709-41 [PubMed]

La Camera G, Rauch A, Luscher HR, Senn W, Fusi S (2004) Minimal models of adapted neuronal response to in vivo-like input currents. Neural Comput 16:2101-24 [PubMed]

Legenstein R, Naeger C, Maass W (2005) What can a neuron learn with spike-timing-dependent plasticity? Neural Comput 17:2337-82 [PubMed]

Markram H, Lubke J, Frotscher M, Sakmann B (1997) Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 275:213-5 [PubMed]

Marr D (1969) A theory of cerebellar cortex. J Physiol 202:437-70 [PubMed]

Minsky M (1969) Perceptrons

Mitra S, Fusi S, Indiveri G (2006) A VLSI spike-driven dynamic synapse which learns only when necessary IEEE Int Symposium On Circuits And Systems :2777-2780

Mongillo G, Curti E, Romani S, Amit DJ (2005) Learning in realistic networks of spiking neurons and spike-driven plastic synapses. Eur J Neurosci 21:3143-60

Nadal JP, Toulouse G, Changeux JP, Dehaene S (1986) Networks of formal neurons and memory palimpsests Europhys Lett 1:535

Parisi G (1986) A memory which forgets J Phys Math Gen A 19:617-620

Petersen CC, Malenka RC, Nicoll RA, Hopfield JJ (1998) All-or-none potentiation at CA3-CA1 synapses. Proc Natl Acad Sci U S A 95:4732-7 [PubMed]

Rao RP, Sejnowski TJ (2001) Spike-timing-dependent Hebbian plasticity as temporal difference learning. Neural Comput 13:2221-37 [PubMed]

Rauch A, La Camera G, Luscher HR, Senn W, Fusi S (2003) Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents. J Neurophysiol 90:1598-612 [Journal] [PubMed]

ROSENBLATT F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65:386-408 [PubMed]

Rubin J, Lee DD, Sompolinsky H (2001) Equilibrium properties of temporally asymmetric Hebbian plasticity. Phys Rev Lett 86:364-7 [PubMed]

Saudargiene A, Porr B, Worgotter F (2004) How the shape of pre- and postsynaptic signals can influence STDP: a biophysical model. Neural Comput 16:595-625 [PubMed]

Senn W, Buchs NJ (2003) Spike-Based Synaptic Plasticity and the Emergence of Direction Selective Simple Cells: Mathematical Analysis Journal of Computational Neuroscience 14:119-138 [Journal]

Senn W, Fusi S (2005) Learning only when necessary: better memories of correlated patterns in networks with bounded synapses. Neural Comput 17:2106-38 [PubMed]

Senn W, Fusi S (2005) Convergence of stochastic learning in perceptrons with binary synapses. Phys Rev E Stat Nonlin Soft Matter Phys 71:061907-42

Senn W, Markram H, Tsodyks M (2001) An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing. Neural Comput 13:35-67 [PubMed]

Shouval HZ, Bear MF, Cooper LN (2002) A unified model of NMDA receptor-dependent bidirectional synaptic plasticity. Proc Natl Acad Sci U S A 99:10831-6 [PubMed]

Shouval HZ, Kalantzis G (2005) Stochastic properties of synaptic transmission affect the shape of spike time-dependent plasticity curves. J Neurophysiol 93:1069-73 [Journal] [PubMed]

Simard PY, Steinkraus D, Platt J (2003) Best practice for convolutional neural networks applied to visual document analysis International Conference on Document Analysis and Recogntion (ICDAR) :958-962

Sjostrom PJ, Turrigiano GG, Nelson SB (2001) Rate, timing, and cooperativity jointly determine cortical synaptic plasticity. Neuron 32:1149-64 [PubMed]

Tsodyks M (1990) Associative memory in neural networks with binary synapses Mod Phys Lett B4:713-716

Turrigiano GG, Nelson SB (2000) Hebb and homeostasis in neuronal plasticity. Curr Opin Neurobiol 10:358-64 [PubMed]

Wang H, Wagner JJ (1999) Priming-induced shift in synaptic plasticity in the rat hippocampus. J Neurophysiol 82:2024-8 [PubMed]

Wang S, OConnor D, Wittenberg G (2004) Steplike unitary events underlying bidirectional hippocampal synaptic plasticity Soc Neurosci Abstr 57.6

Wang XJ (2002) Probabilistic decision making by slow reverberation in cortical circuits. Neuron 36:955-68 [PubMed]

Yao H, Shen Y, Dan Y (2004) Intracortical mechanism of stimulus-timing-dependent plasticity in visual cortical orientation tuning. Proc Natl Acad Sci U S A 101:5081-6

Zhang LI, Tao HW, Holt CE, Harris WA, Poo M (1998) A critical window for cooperation and competition among developing retinotectal synapses. Nature 395:37-44 [PubMed]

Zhou Q, Tao HW, Poo MM (2003) Reversal and stabilization of synaptic modifications in a developing visual system. Science 300:1953-7 [PubMed]

Clopath C, Busing L, Vasilaki E, Gerstner W (2010) Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nat Neurosci 13:344-52 [Journal] [PubMed]

   Voltage-based STDP synapse (Clopath et al. 2010) [Model]

Graupner M, Brunel N (2012) Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location. Proc Natl Acad Sci U S A 109:3991-6 [PubMed]

Mozafari M, Kheradpisheh SR, Masquelier T, Nowzari-Dalini A, Ganjtabesh M (2018) First-Spike-Based Visual Categorization Using Reward-Modulated STDP IEEE Transactions on Neural Networks and Learning Systems :1-13 [Journal]

   First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018) [Model]

Richert M, Nageswaran JM, Dutt N, Krichmar JL (2011) An efficient simulation environment for modeling large-scale cortical processing. Front Neuroinform 5:19 [Journal] [PubMed]

   Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011) [Model]

Yu Q, Tang H, Hu J, Tan KC (2017) Precise-Spike-Driven Synaptic Plasticity for Hetero Association of Spatiotemporal Spike Patterns Neuromorphic Cognitive Systems: A Learning and Memory Centered Approach :65-87 [Journal]

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